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Source channel @githubtrending · Post #14926 · Jul 8

#jupyter_notebook#artificial_intelligence#book#large_language_models#llm#llms#oreilly#oreilly_books You can learn how to use Large Language Models (LLMs) effectively through the book *Hands-On Large Language Models* by Jay Alammar and Maarten Grootendorst. This book uses nearly 300 custom illustrations to explain key concepts and practical tools for working with LLMs, including tokenization, transformers, prompt engineering, fine-tuning, and advanced text generation. It also provides runnable code examples in Google Colab, making it easy to practice and apply what you learn. This resource helps you understand and build your own LLM applications confidently, saving you time and effort in mastering complex AI technology. It’s highly recommended for anyone wanting hands-on experience with LLMs. https://github.com/HandsOnLLM/Hands-On-Large-Language-Models

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Host Testing and evaluation

@HostEvaluate · Post #852 · 01/13/2023, 08:45 PM

#MoeCloud#CA Host Provider: MoeCloud Location: Toronto, Canada Specification: 4vCore (EPYC 7413) | 30GB SSD | 20TB @ 1Gbps | ¥ 97.3 / Mo Looking glass: ca.to.global.lg.lite.moe 感谢商家提供的测试机。商家介绍这是一款主打建站的产品。电信联通回程绕美,移动有可能绕美有可能绕欧洲。流量耗尽后变为不限流量 10Mbps. 性能不错,就是没有防御。 https://paste.red/p/795686fe1d3b

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